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Brain Segmentation

( Image credit: 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study )

Papers

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Showing 101–146 of 146 papers

TitleStatusHype
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis—0
On Direct Distribution Matching for Adapting Segmentation Networks—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning—0
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation—0
Pulse Sequence Resilient Fast Brain Segmentation—0
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset—0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes—0
RANCOR: Non-Linear Image Registration with Total Variation Regularization—0
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation—0
Recalibrating 3D ConvNets with Project & Excite—0
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation—0
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images—0
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Affine Registration—0
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions—0
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI—0
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning—0
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation—0
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes—0
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles—0
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets—0
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Expert-Adaptive Medical Image Segmentation—0
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Distributed Weight Consolidation: A Brain Segmentation Case Study—0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images—0
Semi-supervised Learning with Robust Loss in Brain Segmentation—0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
vol2Brain: A new online Pipeline for whole Brain MRI analysis—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
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